Self-Supervised Visual Motor Skills via Neural Radiance Fields
Paul Gesel,Noushad Sojib,Momotaz Begum,Paul Gesel,Noushad Sojib,Momotaz Begum
In this paper, we propose a novel network architecture for visual imitation learning that exploits neural radiance fields (NeRFs) and key-point correspondence for self-supervised visual motor policy learning. The proposed network architecture incorporates a dynamic system output layer for policy learning. Combining the stability and goal adaption properties of dynamic systems with the robustness o...
